Statistics is always a difficult subject for business professionals. Our pursuit is make business analytics simple and easy for you. Instead of focusing on the theory (like in academics), we have packaged the application of important statistical principles to real-life business situations.
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This section does not have any lessons.
Learn how to compute Rolled Throughput Yield? Difficulty Level : Low
Learn how to baseline process parameters? Difficulty Level : Low
Learn how to set targets for process and projects. Difficulty Level : Low
Role of Measurement Variation & Types of Measurement System Analysis. Difficulty Level : Medium
Learn to perform discrete MSA using Agreement & Kappa Method. Difficulty Level : High
Understand Variable MSA (ANOVA method) in detail. Difficulty Level : High
How to perform ANOVA Variable GRR and interpret the results? Difficulty Level : High
Continued from previous lesson. How to perform ANOVA Variable GRR and interpret the results? Difficulty Level : High
This section does not have any lessons.
Ability to identify different types of statistical distributions 2.Apply the concept of distributions to practical situations. Difficulty Level : High
Understand what is Standard Normal Variable. Difficulty Level : High
Application of the concept of probability to business scenarios. Difficulty Level : High
Learn about different types of distributions. Difficulty Level : High
Learn about distribution parameters. Difficulty Level : High
How to deal with process lead time data? Answer important questions for business? Difficulty Level : High
Learn about Weibull Distribution & its characteristics. Difficulty Level : High
How to identify what distribution a given data belongs to? Difficulty Level : High
Learn about the application of Weibull Distribution. Difficulty Level : Medium
Learn about Exponential Distribution and its applications. Difficulty Level : High
Application of Binomial Distribution. Difficulty Level : High
Learn about Poisson Distribution. Difficulty Level : High
Application of Poisson Distribution. Difficulty Level : High
Learn about the impact of Sample Size on Distributions. Difficulty Level : High
What is Central Limit Theorem and its relevance to business? Difficulty Level : High
Learn about the application of Central Limit Theorem. Difficulty Level : Medium
Learn about Binomial Distribution. Difficulty Level : Medium
Learn how to compute Confidence Intervals for means. Difficulty Level : Medium
Learn about what is Degrees of Freedom & where will it be applied. Difficulty Level : Medium
Learn about t distribution & its relevance to data analysis.
Difficulty Level : Medium
Learn to compute the Confidence Limits for sample mean using t-distribution.
Difficulty Level : Medium
Learn to compute Confidence Interval for proportion data. Difficulty Level : Medium
Learn about Chi-square distribution & its relevance to data analysis. Difficulty Level : Medium
Learn about F Distribution and its relevance to data analysis. Difficulty Level : Medium
Revise what you know about data sampling Difficulty Level : Low
Learn about Rational subgrouping and its importance Difficulty Level : Medium
Learn how to compute sample size for estimation using MS-Excel and Minitab Difficulty Level : Medium
Learn about how to adjust sample size for finite populations Difficulty Level : Medium
Learn about how to adjust sample size for finite populations. Difficulty Level : Medium
Importance of graphical methods & types of graphical tools. Difficulty Level : Low
Learn how to create and interpret Dot Plots, Box Plots & Interval Plots. Difficulty Level : Low
Learn how to create and interpret Run Charts in Minitab. Difficulty Level : Low
Learn how to create and interpret Time Series Charts in Minitab. Difficulty Level : Low
Learn about the theory behind Scatter Plots & the origin of ‘r’ value. Difficulty Level : Low
Learn about how to study and interpret non-linear correlation using Spearman’s Rho. Difficulty Level : Low
Learn how to create and interpret Marginal Plots. Diffifculty Level : Low
Learn about 3D Plots such as Scatter Plots, Contour Plots & Surface Plots. Difficulty Level : Low
Learn to create and interpret Multi-vary charts. Difficulty Level : Low
This section does not have any lessons.
Learn the principles behind hypothesis testing Difficulty Level : High
Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High
Continued from previous lesson. Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High
Continued from previous lesson. Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High
Learn about theory behind ANOVA testing. Difficulty Level : High
Continued from previous lesson. Learn about theory behind ANOVA testing. Difficulty Level : High
Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High
Continued from previous lesson. Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High
Continued from previous lesson. Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High
Learn about types of chi-square tests & where to apply them. Difficulty Level : High
Learn about chi-square hypothesis tests & where to apply them. Difficulty Level : High
How to perform different types of chi-square tests and draw suitable inferences? Difficulty Level : High
Continued from previous lesson. How to perform different types of chi-square tests and draw suitable inferences? Difficulty Level : High
Learn how to perform 1P & 2P tests. Difficulty Level : High
Continued from previous lecture. Learn how to perform 1P & 2P tests. Difficulty Level : High
How to perform Non-Parametric Hypothesis Testing Difficulty Level : High
How to perform One Sign & Wilcoxon Test? Difficulty Level : High
How to perform Mann Whitnney & Moods Median? Difficulty Level : High
Learn about various risks involved in decision making with respect to hypothesis testing
Difficulty Level : High
Learn to compute sample size for hypothesis test based on risk factors & purpose of test Difficulty Level : High
How to construct a line of best fit for simple linear regression? Difficulty Level : High
How to construct a line of best fit for simple linear regression? Difficulty Level : High
What are fits, residuals & how it relates to Least Squares Method? Difficulty Level : High
What is partial correlation and how to compute it? Difficulty Level : High
What is R-sq & Adj R-sq? How is it computed? What is its significance? Difficulty Level : High
Learn about Confidence Band & Prediction Band. Difficulty Level : High
How to construct a Multiple Linear Regression? Difficulty Level : High
What is Multi-Collinearity & how to detect it? Difficulty Level : High
Build Simple Prediction Models. Difficulty Level : High
What is Logistic Regression? How to perform Binary Logistic Regression? Difficulty Level : High
Learn to perform logistic regression. Difficulty Level : High
Learn to build simple prediction models. Difficulty Level : High
When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High
Continuation from previous lecture. When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High
Continuation from previous lecture. When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High
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